# Qingzhe Li

> Software Engineer, ML

Location: New York, New York, United States
Profile: https://flows.cv/qingzhe

## Work Experience
### Software Engineer @ Amazon
Jan 2023 – Present | New York, New York, United States

### Software Engineer @ Amazon
Jan 2023 – Present | New York City Metropolitan Area
Enhance Ads products with AI/ML technology

### Software Engineer @ Click Therapeutics, Inc.
Jan 2020 – Jan 2023 | New York City Metropolitan Area
Cloud platform, shared services, recommender system.

### Research Assistant @ George Mason University
Jan 2015 – Jan 2020 | Fairfax, VA
Data Mining, Machine Learning, Trajectory Data, Spatial Temporal Data. 
Current Project: 
Interpretable Temporal Mining for Contrastive Driving Behaviors:
	Proposing new models to mine the contrastive driving behaviors generated by participants diagnosed with ADHD before and after taking their ADHD medication. Moreover, developing ADMM-based optimization algorithms and implementing solvers in Python to find the optimal solution of the proposed models. 
Past Projects: 
1. A Uniform Representation forTrajectory Learning Tasks’http://doi.acm.org/10.1145/3139958.3140017
2. TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory
\par Developing algorithms and visualization Java application for mining and visualizing trajectory patterns and anomalies.
https://github.com/qingzheli/TrajViz

### Software Engineer @ George Mason University
Jan 2015 – Jan 2020 | Fairfax, Virginia, United States
Working on multiple software engineering projects:
1.  Data preprocessing, data augmentation, training and evaluating deep learning models on remote Linux servers. 
2. Data preprocessing, designing and implementing novel deep learning architecture from scratch, design and implementing comprehensive experiments on training and evaluating the proposed model.
3. Building Restful web service to get data from Blackboard server, compile the data to the schema in EAB system, and post the compiled data to EAB server.
4. Processing 40 TB MRI data in ConnectomeDB to generate the structural and functional connectivity datasets for deep graph translation models. 
5. developing java application to mine and visualize frequent and anomalous trajectories on OpenStreeMap

### Summer Software Researcher/Engineer @ IBM
Jan 2016 – Jan 2016
Developing and implementing algorithms to accelerate time series similarity search and detect frequent patterns in time series database.

### Teaching Assistant @ SUNY New Paltz
Jan 2012 – Jan 2013


## Education
### Doctor of Philosophy (PhD) in Computer Science and Information Technology
George Mason University
Jan 2013 – Jan 2020

### Master of Science (M.S.) in Computer Science
SUNY New Paltz
Jan 2011 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/qingzhe-li
- Website: https://qingzheli.github.io/

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Source: https://flows.cv/qingzhe
JSON Resume: https://flows.cv/qingzhe/resume.json
Last updated: 2026-03-23